End of training

README.md

@@ -0,0 +1,59 @@
+---
+license: mit
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: microsoft/Phi-3-mini-128k-instruct
+model-index:
+- name: phi3-8bit
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# phi3-8bit
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 128
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.1.dev0
+- Transformers 4.40.1
+- Pytorch 2.1.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68bbb3697cc53a51466123482cf4fa1c08d201dae613060454f7edce043885bf
+oid sha256:f37591972033d1a4d296de27bfd9208ba26452afc5bd3ddaef18009a7a5e138c
 size 75514840

runs/May05_01-06-37_49118b804020/events.out.tfevents.1714871245.49118b804020.34.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d583447c5738d427240b1cc0233827405834eeea459ba45eec998d965cb2b69d
-size 10431
+oid sha256:3a096426511f5ac4bd5eef53628ef2fc24202f813d3ddd3c97185130cdc1d314
+size 10785